19th Workshop on high performance computing in meteorology

While computing technologies have remained relatively stable for nearly two decades, new architectural features, such as heterogeneous cores, deep memory hierarchies, non-volatile memory (NVM), and near-memory processing, have emerged as possible solutions to address the concerns of energy-efficiency, manufacturability, and cost. However, we expect this ‘golden age’ of architectural change to...

Dynamical cores and physical parameterizations have traditionally been engineered in isolation for the sake of tractability. The compartmentalization of both the modeling, numerical and software development facilitates the proliferation of model components with incompatible structures. The implementation is often tailored to the specifics of the intended host model, so that transferring...

The weather and climate community has set ambitious goals to reach global km-scale modeling capability on future exascale high-performance computing (HPC) systems. But currently, state-of-the-art models are executed using much coarser grid spacing and almost none of the productive weather and climate models are capable of exploiting modern HPC architectures with hybrid node...

The Exascale era will bring a variety of challenges and opportunities to the weather and climate communities. As we reach the limits of what can be done using traditional technologies and methodologies, we see an explosion not just in processor diversity but also in the methods used to do science and to produce actionable weather and climate information. These changes will demand agility –...